5. Consider the dataset presented in the following table for classification of loan defaults. Given a pair of categorical attribute values, V? and V?, the distance between them is defined as follows: 234567 Tid 1 where n, is the number of examples from class i with attribute value V, and n, is the number of examples with attribute value V?. The distance between a test point X = (HO*, MS*, An") and training point X = (HO, MS, An) is defined as d(X*, X)=dM (HO, HO)+dM (MS, MS)+|An* - An], where HO, MS, An respectively stand for Home Owner. Marital Status, and Annual Income in $1K. How is the test point (Yes, Single, 110K) classified using 3-, 5-, 7- nearest neighbors and d(X*, X)? Yes No No Single Yes Home Marital Annual Defaulted Owner Status Income Borrower No dM(Vi,V2) = ? No Single Married Yes 8 No 9 No 10 No nil n?2 721 n2 - 125K No 100K No 70K No Married 120K No Divorced 95K Yes Married 60K No Divorced 220K No Single 85K Yes Married 75K No Single 90K Yes